Dynamic Simulation of Fuel Cell Driven by Wind Turbine Using Simulink / Matlab Approach
International Journal of Sustainable and Green Energy
Volume 9, Issue 1, March 2020, Pages: 1-15
Received: Feb. 27, 2020; Accepted: Mar. 9, 2020; Published: Mar. 17, 2020
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Authors
Samuel Sami, Research Center for Renewable Energy, Catholic University of Cuenca, Cuenca, Ecuador; TransPacific Energy, Inc, Las Vegas, USA
Cristian Cango, Research Center for Renewable Energy, Catholic University of Cuenca, Cuenca, Ecuador
Edwin Marin, Research Center for Renewable Energy, Catholic University of Cuenca, Cuenca, Ecuador
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Abstract
A dynamic numerical simulation has been carried out using the Matlab Simulink tool for simulation of a hybrid Power generation system using wind turbine (400w) and a fuel cell of Proton Exchange Membrane (PEM). The system has a battery banc to store excess energy not consumed by the load, and an electrolyzer when wind power is unavailable. The numerical model has been developed through blocks of Simulink that contains the data and the system parameters, considering the different elements and characteristics of the different elements of the system. The hybrid system supplies at least 3 hours a day, at 2000 Whr / day. Experiments were conducted using PEM fuel cell type to collect different characteristics of the hybrid system. It was found that the hybrid system efficiency can be increased using more fuel cells in series and the active area of the battery. The numerical model that has been represented in Simulink / Matlab and was validated with the experimental data obtained after the fuel Cell setup. Good agreement has been obtained between the experimental data and the model presented.
Keywords
Wind Turbine, PEM Fuel Cell, Dynamic Simulation, MATLAB Simulink and Model Validation
To cite this article
Samuel Sami, Cristian Cango, Edwin Marin, Dynamic Simulation of Fuel Cell Driven by Wind Turbine Using Simulink / Matlab Approach, International Journal of Sustainable and Green Energy. Special Issue: Hybrid Systems for Power Generation in Remote Areas. Vol. 9, No. 1, 2020, pp. 1-15. doi: 10.11648/j.ijrse.20200901.11
Copyright
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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